O'Toole, A.J.,
Price, T.,
Vetter, T.,
Bartlett, J.C.,
Blanz, V.,
3D Shape and 2D Surface Textures of Human Faces:
The Role of 'Averages' in Attractiveness and Age,
IVC(18), No. 1, December 1999, pp. 9-19.
Elsevier DOI
0001
BibRef
Schmid, K.[Kendra],
Marx, D.[David],
Samal, A.[Ashok],
Computation of a face attractiveness index based on neoclassical
canons, symmetry, and golden ratios,
PR(41), No. 8, August 2008, pp. 2710-2717.
Elsevier DOI
0805
Face attractiveness; Face recognition; Neoclassical canons;
Face symmetry; Golden ratio
BibRef
Zhang, D.[David],
Zhao, Q.J.[Qi-Jun],
Chen, F.M.[Fang-Mei],
Quantitative analysis of human facial beauty using geometric features,
PR(44), No. 4, April 2011, pp. 940-950.
Elsevier DOI
1101
Human face shape space; Geometric features; Human facial beauty; Averageness
BibRef
Liang, L.Y.[Ling-Yu],
Jin, L.W.[Lian-Wen],
Li, X.L.[Xue-Long],
Facial Skin Beautification Using Adaptive Region-Aware Masks,
Cyber(44), No. 12, December 2014, pp. 2600-2612.
IEEE DOI
1412
image colour analysis
BibRef
Batool, N.[Nazre],
Chellappa, R.[Rama],
Fast detection of facial wrinkles based on Gabor features using image
morphology and geometric constraints,
PR(48), No. 3, 2015, pp. 642-658.
Elsevier DOI
1412
Facial wrinkles
BibRef
Chiang, W.C.[Wen-Chung],
Lin, H.H.[Hsiu-Hsia],
Huang, C.S.[Chiung-Shing],
Lo, L.J.[Lun-Jou],
Wan, S.Y.[Shu-Yen],
The cluster assessment of facial attractiveness using fuzzy neural
network classifier based on 3D Moiré features,
PR(47), No. 3, 2014, pp. 1249-1260.
Elsevier DOI
1312
Facial attractiveness
BibRef
Laurentini, A.[Aldo],
Bottino, A.[Andrea],
Computer analysis of face beauty: A survey,
CVIU(125), No. 1, 2014, pp. 184-199.
Elsevier DOI
1406
BibRef
Earlier: A2, A1:
The Intrinsic Dimensionality of Attractiveness:
A Study in Face Profiles,
CIARP12(59-66).
Springer DOI
1209
Face image analysis
BibRef
Earlier: A2, A1:
The Analysis of Facial Beauty:
An Emerging Area of Research in Pattern Analysis,
ICIAR10(I: 425-435).
Springer DOI
1006
BibRef
Lienhard, A.[Arnaud],
Ladret, P.[Patricia],
Caplier, A.[Alice],
How to predict the global instantaneous feeling induced by a facial
picture?,
SP:IC(39, Part C), No. 1, 2015, pp. 473-486.
Elsevier DOI
1601
Aesthetic quality
BibRef
Çeliktutan, O.[Oya],
Gunes, H.[Hatice],
Automatic Prediction of Impressions in Time and across Varying
Context: Personality, Attractiveness and Likeability,
AffCom(8), No. 1, January 2017, pp. 29-42.
IEEE DOI
1703
BibRef
Earlier:
Continuous prediction of perceived traits and social dimensions in
space and time,
ICIP14(4196-4200)
IEEE DOI
1502
Computational modeling.
Context
BibRef
Chen, F.,
Xiao, X.,
Zhang, D.,
Data-Driven Facial Beauty Analysis: Prediction, Retrieval and
Manipulation,
AffCom(9), No. 2, April 2018, pp. 205-216.
IEEE DOI
1806
Active appearance model, Computational modeling, Face,
Feature extraction, Geometry, Predictive models, Shape,
facial beauty analysis
BibRef
Awano, N.[Naoyuki],
Morohoshi, K.[Kana],
Objective Evaluation of Impression of Faces with Various Female
Hairstyles Using Field of Visual Perception,
IEICE(E101-D), No. 6, June 2018, pp. 1648-1656.
WWW Link.
1806
BibRef
Fan, Y.Y.[Yang-Yu],
Liu, S.[Shu],
Li, B.[Bo],
Guo, Z.[Zhe],
Samal, A.[Ashok],
Wan, J.[Jun],
Li, S.Z.[Stan Z.],
Label Distribution-Based Facial Attractiveness Computation by Deep
Residual Learning,
MultMed(20), No. 8, August 2018, pp. 2196-2208.
IEEE DOI
1808
face recognition, feature extraction, image representation,
learning (artificial intelligence), neural nets,
SCUT-FBP
BibRef
Xu, M.,
Chen, F.,
Li, L.,
Shen, C.,
Lv, P.,
Zhou, B.,
Ji, R.,
Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic
Prediction,
AffCom(12), No. 1, January 2021, pp. 227-238.
IEEE DOI
2103
Feature extraction, Visualization, Face, Ontologies, Detectors,
Bridges, Machine learning, Facial aesthetic, aesthetic concept,
deep learning
BibRef
Lin, L.J.[Luo-Jun],
Liang, L.Y.[Ling-Yu],
Jin, L.W.[Lian-Wen],
Regression Guided by Relative Ranking Using Convolutional Neural
Network (R^3CNN) for Facial Beauty Prediction,
AffCom(13), No. 1, January 2022, pp. 122-134.
IEEE DOI
2203
Benchmark testing, Databases, Training, Computer architecture,
Fasteners, Deep learning, Task analysis, Facial beauty prediction,
Siamese network
BibRef
Peng, T.H.[Tian-Hao],
Li, M.[Mu],
Chen, F.[Fangmei],
Xu, Y.[Yong],
Zhang, D.[David],
Learning efficient facial landmark model for human attractiveness
analysis,
PR(138), 2023, pp. 109370.
Elsevier DOI
2303
Human attractiveness, Landmark model, Geometric feature, Genetic algorithm
BibRef
Vargas-Quiros, J.[Jose],
Kapcak, Ö.[Öykü],
Hung, H.[Hayley],
Cabrera-Quiros, L.[Laura],
Individual and Joint Body Movement Assessed by Wearable Sensing as a
Predictor of Attraction in Speed Dates,
AffCom(14), No. 3, July 2023, pp. 2168-2181.
IEEE DOI
2310
BibRef
Lo, L.J.[Lun-Jou],
Yang, C.T.[Chao-Tung],
Chiang, W.C.[Wen-Chung],
Lin, H.H.[Hsiu-Hsia],
A quantitative method for the assessment of facial attractiveness
based on transfer learning with fine-grained image classification,
PR(145), 2024, pp. 109970.
Elsevier DOI
2311
Facial attractiveness, Transfer learning,
Fine-grained image classification, Facial surface images
BibRef
Lyu, H.C.[Hao-Chen],
Li, J.J.[Jian-Jun],
Ye, Y.[Yin],
Chang, C.C.[Chin-Chen],
A Ranking Information Based Network for Facial Beauty Prediction,
IEICE(E108-D), No. 6, June 2024, pp. 772-780.
WWW Link.
2406
BibRef
Weng, N.[Nina],
Wang, J.H.[Jia-Hao],
Li, A.[Annan],
Wang, Y.H.[Yun-Hong],
Two-Stream Temporal Convolutional Network for Dynamic Facial
Attractiveness Prediction,
ICPR21(10026-10033)
IEEE DOI
2105
Psychology, Predictive models, Benchmark testing
BibRef
Velusamy, S.,
Parihar, R.,
Kini, R.,
Rege, A.,
FabSoften: Face Beautification via Dynamic Skin Smoothing, Guided
Feathering, and Texture Restoration,
NTIRE20(2248-2256)
IEEE DOI
2008
Skin, Face, Smoothing methods, Softening, Hair, Facial features,
Image restoration
BibRef
Liang, X.,
Tong, S.,
Kumada, T.,
Iwaki, S.,
Golden Ratio: The Attributes of Facial Attractiveness Learned By CNN,
ICIP19(2124-2128)
IEEE DOI
1910
Facial Attractiveness, Deconvolutional Neural Network, Golden Ratio
BibRef
Xu, L.,
Fan, H.,
Xiang, J.,
Hierarchical Multi-Task Network For Race, Gender and Facial
Attractiveness Recognition,
ICIP19(3861-3865)
IEEE DOI
1910
Deep learning, multi-task learning,
hierarchical multi-task neural network (HMTNet),
gender recognition
BibRef
Diamant, N.,
Zadok, D.,
Baskin, C.,
Schwartz, E.,
Bronstein, A.M.,
Beholder-Gan: Generation and Beautification of Facial Images with
Conditioning on Their Beauty Level,
ICIP19(739-743)
IEEE DOI
1910
Beautification, Face synthesis, Generative Adversarial Network,
GAN, CGAN
BibRef
Vahdati, E.[Elham],
Suen, C.Y.[Ching Y.],
Female Facial Beauty Analysis Using Transfer Learning and Stacking
Ensemble Model,
ICIAR19(II:255-268).
Springer DOI
1909
BibRef
Dantcheva, A.,
Bremond, F.,
Bilinski, P.,
Show me your face and I will tell you your height, weight and body
mass index,
ICPR18(3555-3560)
IEEE DOI
1812
Face, Estimation, Weight measurement, Indexes, Correlation,
Training, Biometrics (access control)
BibRef
Liang, L.,
Lin, L.,
Jin, L.,
Xie, D.,
Li, M.,
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial
Beauty Prediction,
ICPR18(1598-1603)
IEEE DOI
1812
Benchmark testing, Databases, Computational modeling,
Predictive models, Correlation, Standards
BibRef
Lin, L.,
Liang, L.,
Jin, L.,
R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking
for Facial Beauty Prediction,
ICPR18(85-90)
IEEE DOI
1812
Feature extraction, Training, Task analysis, Benchmark testing,
Face, Network architecture
BibRef
Gao, L.,
Li, W.,
Huang, Z.,
Huang, D.,
Wang, Y.,
Automatic Facial Attractiveness Prediction by Deep Multi-Task
Learning,
ICPR18(3592-3597)
IEEE DOI
1812
Task analysis, Shape, Feature extraction, Training, Convolution,
Predictive models, Facial features,
landmark detection
BibRef
Liang, L.,
Xie, D.,
Jin, L.,
Xu, J.,
Li, M.,
Lin, L.,
Region-aware scattering convolution networks for facial beauty
prediction,
ICIP17(2861-2865)
IEEE DOI
1803
Convolution, Face, Feature extraction, Predictive models, Scattering,
Shape, Visualization, Facial beauty prediction,
wavelets
BibRef
Workman, S.,
Souvenir, R.,
Jacobs, N.,
Understanding and Mapping Natural Beauty,
ICCV17(5590-5599)
IEEE DOI
1802
crowdsourcing, image processing, Great Britain,
content-aware image processing, cross-view mapping,
Training
BibRef
Lei, J.,
Feng, Z.,
Song, M.,
Tao, D.,
Which face is more attractive?,
ICIP16(1639-1643)
IEEE DOI
1610
Convolution
BibRef
Gan, J.Y.[Jun-Ying],
Zhou, L.[Lei],
Zhai, Y.[Yikui],
A study for facial beauty prediction model,
ICWAPR15(8-13)
IEEE DOI
1511
computational geometry
BibRef
Kalayci, S.[Sacide],
Ekenel, H.K.[Hazim Kemal],
Gunes, H.[Hatice],
Automatic analysis of facial attractiveness from video,
ICIP14(4191-4195)
IEEE DOI
1502
Correlation
BibRef
Altwaijry, H.,
Belongie, S.J.,
Relative ranking of facial attractiveness,
WACV13(117-124).
IEEE DOI
1303
BibRef
Gray, D.[Douglas],
Yu, K.[Kai],
Xu, W.[Wei],
Gong, Y.H.[Yi-Hong],
Predicting Facial Beauty without Landmarks,
ECCV10(VI: 434-447).
Springer DOI
1009
BibRef
Whitehill, J.[Jacob],
Movellan, J.R.[Javier R.],
Personalized facial attractiveness prediction,
FG08(1-7).
IEEE DOI
0809
BibRef
Davis, B.C.,
Lazebnik, S.,
Analysis of human attractiveness using manifold kernel regression,
ICIP08(109-112).
IEEE DOI
0810
BibRef
Tanaka, S.,
Iwadate, Y.,
Inokuchi, S.,
An Attractiveness Evaluation Model Based on the Physical Features of
Image Regions,
ICPR00(Vol II: 793-796).
IEEE DOI
0009
BibRef
Earlier:
A figure extraction method based on the color and texture contrasts of
regions,
CIAP99(12-17).
IEEE DOI
9909
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Gender Classification .